Information and Communication Technologies (ICTs) and Artificial Intelligence (AI) are driving profound transformations across organisational, economic, and societal contexts, reshaping value creation, structures, and processes. As technologies such as generative and agentic AI, blockchain, and the Internet of Things (IoT) continue to evolve, scholarly attention must increasingly move beyond initial adoption toward understanding how these technologies are integrated, adapted, and leveraged over time. While prior research has extensively examined technology adoption decisions, comparatively less attention has been paid to post-adoption dynamics, including continuance, adaptation, and routinization. Moreover, the realization of value from ICT and AI investments remains uneven and insufficiently understood, as adoption does not necessarily translate into organizational or societal benefits. These gaps highlight the need for deeper theoretical and empirical insights into how technologies generate sustained value and transformation.
At the same time, the widespread deployment of ICTs and AI introduces complex risks and tensions, including ethical concerns, digital inequality, cybersecurity threats, and unintended consequences. In parallel, emerging forms of human–AI interaction and digital platforms are reshaping work practices, decision-making, and socio-technical relationships in ways that require renewed scholarly attention.
This special issue seeks to advance cutting-edge research that moves beyond initial adoption to examine post-adoption phenomena, value realization, and transformation across individual, organizational, and societal levels. While this special issue emphasizes post-adoption and impact, we also welcome novel perspectives on early-stage adoption where they offer new theoretical insights or address emerging technologies and contexts.
We invite original contributions employing diverse methodological approaches, including empirical, theoretical, experimental, design science, and review-based research.